In this paper, adaptive sensor fusion INS/GNSS is proposed to solve specific problem of non linear time variant state space estimation with measurement outliers, different algorithms are used to solve this specific pr...In this paper, adaptive sensor fusion INS/GNSS is proposed to solve specific problem of non linear time variant state space estimation with measurement outliers, different algorithms are used to solve this specific problem generally occurs in intentional and non-intentional interferences caused by other radio navigation sources, or by the GNSS receiver’s deterioration. Non linear approximation techniques such as Extended Kalman filter EKF, Sigma Point Kalman Filters such as UKF and CDKF are computed to estimate the navigation states for UAV flight control. Several comparisons are conduced and analyzed in order to compare the accuracy and the convergence of different approaches usually applied in navigation data fusion purposes. The last non linear filter algorithm developed is the Cubature Kalman Filter CKF which provides more accurate estimation with more stability in Tracking data fusion application. In this work, CKF is compared with SPKF and EKF in ideal conditions and during GNSS outliers supposed to occur during specific interval of time, innovation based adaptive approach is selected and used to modify the covariance calculation of the non linear filters performed in this paper. Interesting results are observed, discussed with real perspectives in navigation data fusion for real time applications. Three parallel modified algorithms are simulated and compared to non-adaptive forms according to Root Mean Square Error (RMSE) criteria.展开更多
目的对急诊生化分析项目进行Westgard西格玛性能评价,设定个性化的质控规则,确定合适的质控频率,明确改进方向,规范室内质控的开展。方法收集本院急诊生化检测系统21个分析项目共24个月的质控数据所得到的实际累积不精密度(CV)、与对等...目的对急诊生化分析项目进行Westgard西格玛性能评价,设定个性化的质控规则,确定合适的质控频率,明确改进方向,规范室内质控的开展。方法收集本院急诊生化检测系统21个分析项目共24个月的质控数据所得到的实际累积不精密度(CV)、与对等组的偏倚(BIAS)以及本院设定的允许总误差(TEa),使用Unity Real Time(简称URT)质控管理平台,得到分析项目的σ值、推荐的质控规则、假失控率和误差检出率等信息;并应用新推出的分析批长度Westgard Sigma规则流程图这一工具,来确定各分析项目合适的分析批长度(质控频率);而对于σ<6的分析项目,通过计算其质量目标指数(QGI),查找方法性能不佳的原因进行改进。结果(1)21个生化分析项目的实际累积CV、BIAS和总误差TE均在质量目标设定范围之内,不同项目的σ值不同,采用的质控规则从单规则到多规则,实现了个性化质控规则的设定;(2)21个生化分析项目的分析批长度不尽相同,结合该院平均每日急诊生化类样本数量选择合适的质控检测频率;(3)对于σ<6的17个分析项目中,QGI<0.8有16个项目,提示优先改进精密度;QGI>1.2有1个项目,提示优先改进正确度。结论Westgard西格玛规则是一种科学,实用的质量控制规则选取、分析批长度评估工具,可有效地应用于定量分析项目的质量管理。展开更多
目的运用分析批长度Westgard西格玛规则流程图优化实验室肿瘤标志物检测项目质控策略以及质量目标指数查找质量下降的原因,降低实验室成本和风险,提升实验室检测水平。方法收集本院核医学科2020年5月和6月两个月的肿瘤标志物检测项目室...目的运用分析批长度Westgard西格玛规则流程图优化实验室肿瘤标志物检测项目质控策略以及质量目标指数查找质量下降的原因,降低实验室成本和风险,提升实验室检测水平。方法收集本院核医学科2020年5月和6月两个月的肿瘤标志物检测项目室内质控在控数据的变异系数(coefficient of variation,CV)及2020年6月卫生部室间质评实验数据中的偏倚(Bias)值,采用2020年卫生部临床检验中心性能规范中的总允许误差(TEa),计算各项目的西格玛(σ)值,然后运用分析批长度Westgard西格玛规则图选择合适的质控规则,最后计算质量目标指数(quality goal index,QGI),分析影响质量性能的主要因素,通过3个月的改进,利用2020年9月和10月在控数据的CV值及2020年9月卫生部第二次的Bias值重新计算西格玛(σ)值,最后通过配对t检验验证差异有无统计学意义。结果σ值>6的项目有FPSA,应选择单规则13S,分析批长度R1=1000个;σ值介于5和6之间的项目有NSE,应选用多规则13s/22s/R4s,分析批长度R1=450个;σ值介于4和5之间的项目有CA125、CA19-9、TPSA,应选择多规则13s/22s/R4s/41s,分析批长度R1=200个;σ值小于4的项目有AFP、CEA、CA15-3、CA72-4、CYFRA21-1,应采用多规则13s/22s/R4s/41s/6x,分析批长度R1=45个。QGI小于0.8的项目有AFP、CEA、CA125、CA15-3、CA19-9、CA72-4、NSE、CYFRA21-1共计8个项目,优先改进精密度,大于1.2的项目只有TPSA,优先改进正确度。结论分析批长度Westgard西格玛规则图和质量目标指数两者相结合,可以为质控策略提供依据,使肿瘤标志物检测质量得到改进。展开更多
文摘In this paper, adaptive sensor fusion INS/GNSS is proposed to solve specific problem of non linear time variant state space estimation with measurement outliers, different algorithms are used to solve this specific problem generally occurs in intentional and non-intentional interferences caused by other radio navigation sources, or by the GNSS receiver’s deterioration. Non linear approximation techniques such as Extended Kalman filter EKF, Sigma Point Kalman Filters such as UKF and CDKF are computed to estimate the navigation states for UAV flight control. Several comparisons are conduced and analyzed in order to compare the accuracy and the convergence of different approaches usually applied in navigation data fusion purposes. The last non linear filter algorithm developed is the Cubature Kalman Filter CKF which provides more accurate estimation with more stability in Tracking data fusion application. In this work, CKF is compared with SPKF and EKF in ideal conditions and during GNSS outliers supposed to occur during specific interval of time, innovation based adaptive approach is selected and used to modify the covariance calculation of the non linear filters performed in this paper. Interesting results are observed, discussed with real perspectives in navigation data fusion for real time applications. Three parallel modified algorithms are simulated and compared to non-adaptive forms according to Root Mean Square Error (RMSE) criteria.
文摘目的对急诊生化分析项目进行Westgard西格玛性能评价,设定个性化的质控规则,确定合适的质控频率,明确改进方向,规范室内质控的开展。方法收集本院急诊生化检测系统21个分析项目共24个月的质控数据所得到的实际累积不精密度(CV)、与对等组的偏倚(BIAS)以及本院设定的允许总误差(TEa),使用Unity Real Time(简称URT)质控管理平台,得到分析项目的σ值、推荐的质控规则、假失控率和误差检出率等信息;并应用新推出的分析批长度Westgard Sigma规则流程图这一工具,来确定各分析项目合适的分析批长度(质控频率);而对于σ<6的分析项目,通过计算其质量目标指数(QGI),查找方法性能不佳的原因进行改进。结果(1)21个生化分析项目的实际累积CV、BIAS和总误差TE均在质量目标设定范围之内,不同项目的σ值不同,采用的质控规则从单规则到多规则,实现了个性化质控规则的设定;(2)21个生化分析项目的分析批长度不尽相同,结合该院平均每日急诊生化类样本数量选择合适的质控检测频率;(3)对于σ<6的17个分析项目中,QGI<0.8有16个项目,提示优先改进精密度;QGI>1.2有1个项目,提示优先改进正确度。结论Westgard西格玛规则是一种科学,实用的质量控制规则选取、分析批长度评估工具,可有效地应用于定量分析项目的质量管理。
文摘目的运用分析批长度Westgard西格玛规则流程图优化实验室肿瘤标志物检测项目质控策略以及质量目标指数查找质量下降的原因,降低实验室成本和风险,提升实验室检测水平。方法收集本院核医学科2020年5月和6月两个月的肿瘤标志物检测项目室内质控在控数据的变异系数(coefficient of variation,CV)及2020年6月卫生部室间质评实验数据中的偏倚(Bias)值,采用2020年卫生部临床检验中心性能规范中的总允许误差(TEa),计算各项目的西格玛(σ)值,然后运用分析批长度Westgard西格玛规则图选择合适的质控规则,最后计算质量目标指数(quality goal index,QGI),分析影响质量性能的主要因素,通过3个月的改进,利用2020年9月和10月在控数据的CV值及2020年9月卫生部第二次的Bias值重新计算西格玛(σ)值,最后通过配对t检验验证差异有无统计学意义。结果σ值>6的项目有FPSA,应选择单规则13S,分析批长度R1=1000个;σ值介于5和6之间的项目有NSE,应选用多规则13s/22s/R4s,分析批长度R1=450个;σ值介于4和5之间的项目有CA125、CA19-9、TPSA,应选择多规则13s/22s/R4s/41s,分析批长度R1=200个;σ值小于4的项目有AFP、CEA、CA15-3、CA72-4、CYFRA21-1,应采用多规则13s/22s/R4s/41s/6x,分析批长度R1=45个。QGI小于0.8的项目有AFP、CEA、CA125、CA15-3、CA19-9、CA72-4、NSE、CYFRA21-1共计8个项目,优先改进精密度,大于1.2的项目只有TPSA,优先改进正确度。结论分析批长度Westgard西格玛规则图和质量目标指数两者相结合,可以为质控策略提供依据,使肿瘤标志物检测质量得到改进。
